About me!


I’m Senior Lecturer in Environmental Decision Making, based at the School of Water, Energy and Environment at Cranfield University. 

The complex interactions between the environment, infrastructure, and society, and the decision-making challenges and opportunities that they pose, form the basis for my research. Many of these issues represent ‘wicked problems’, requiring new approaches to decision-making.  To address this, my research seeks to develop and evaluate new techniques, tools, and technologies to support improved decision-making. This involves working with researchers from a wide range of disciplines, including environmental science, economics, engineering, computing and mathematics, and includes the use of mixed quantiative/qualitative methods and post-normal science approaches.

My work is highly stakeholder led and inter/transdisciplinary, and broadly focuses on a number of areas:

Climate risk, adaptation and resilience – Understanding and overcoming risk, adaptation and resilience challenges, including those facing organisations, critical infrastructure operators and communities.

Developing urban observatories and living laboratories – Harnessing sensor technologies and analytics to better understand complex urban environments and aid decision-making.

Marine environmental risks – Understanding and managing the complex risks and trade-offs associated with climate change, marine renewable energy developments and marine spatial planning.

I lead the Decision Science Group within the Cranfield Environment Centre at Cranfield University. I’m also the the Cranfield Centre Manager for the Data, Risk and Environmental Analytical Methods (DREAM) Centre for Doctoral Training, which has received funding from NERC and the ESRC, and am leading the UKCRIC/EPSRC funded Cranfield University Urban Observatory.

Further details of my research can be found on my projects or Cranfield webpages.

I’m always looking for new research collaborations and my contact details are available via my Cranfield webpage.